scFeatureFilter: A correlation-based method for quality filtering of single-cell RNAseq data

An R implementation of the correlation-based method developed in the Joshi laboratory to analyse and filter processed single-cell RNAseq data. It returns a filtered version of the data containing only genes expression values unaffected by systematic noise.

Package details

AuthorAngeles Arzalluz-Luque [aut], Guillaume Devailly [aut, cre], Anagha Joshi [aut]
Bioconductor views GeneExpression ImmunoOncology Preprocessing RNASeq SingleCell
MaintainerGuillaume Devailly <>
LicenseMIT + file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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scFeatureFilter documentation built on Nov. 8, 2020, 7:49 p.m.